unperdictable -> unpredictable

existance -> existence

add new callback for scripts to be used before processing

For MPS, using a tensor created with `torch.empty()` can cause `torch.baddbmm()` to include NaNs in the tensor it returns, even though `beta=0`. However, with a tensor of shape [1,1,1], there should be a negligible performance difference between `torch.empty()` and `torch.zeros()` anyway, so it's better to just use `torch.zeros()` for this and avoid unnecessarily creating issues.

Even if this causes chunks to be much smaller, performance isn't significantly impacted. This will usually reduce memory usage but should also help with poor performance when free memory is low.

Lora: output warnings in UI rather than fail for unfitting loras; switch to logging for error output in console

More significant VRAM reduction.

Significantly reduces VRAM.
This makes encoding more inline with how decoding currently functions.

write out correct model name in infotext, rather than the refiner model

add a way for scripts to register a callback for before/after just a single component's creation